Discovery Early Career Researcher Award - Grant ID: DE220101129
Funder
Australian Research Council
Funding Amount
$438,479.00
Summary
Assessing the risks of extracting metals for the global energy transition. This project aims to produce the first of its kind online atlas that systematically documents the social, environmental and economic impacts in mining locations around the world. Analysing impacts at the source of metal supply chains is crucial to comprehend the implications of transitioning to metal-intensive low-carbon energy technologies. The project would deliver insights on available pathways to achieve a ‘just’ ener ....Assessing the risks of extracting metals for the global energy transition. This project aims to produce the first of its kind online atlas that systematically documents the social, environmental and economic impacts in mining locations around the world. Analysing impacts at the source of metal supply chains is crucial to comprehend the implications of transitioning to metal-intensive low-carbon energy technologies. The project would deliver insights on available pathways to achieve a ‘just’ energy transition, meaning a transition that successfully tackles climate change without placing unacceptable burden on mining communities and environments. The goal of the research is to generate evidence-based recommendations so that future metal supply can be both reliable and responsible.Read moreRead less
The impact of governance on regional natural resource planning. The management of natural resources in regional Australia is challenged by complex decision-making and poorly integrated planning systems at the federal, state and local levels. This project will develop an evaluation framework to assess the effectiveness of planning and natural resource management governance at the regional scale.
Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection ....Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection in water-quality data and generating predictions of sediment and nutrient concentrations throughout river networks in near-real time. This will represent a fundamental increase in scientific knowledge, which will be immediately useful in the domains of aquatic science, environmental monitoring, and statistics.Read moreRead less
Adaptive ecotyping of the toxic cyanobacterium Cylindrospermopsis raciborskii to predict its invasive capacity. We change the world while other organisms adapt to these new conditions. Cyanobacteria (blue green algae) increasingly dominate water bodies that were previously free of these harmful blooms. To minimise the spread of these algae, this project will study the genetic basis that determines how rapidly they can evolve and adapt to a changing planet.
Unintentional surfactant facilitated solubilisation and transport of apparently immobile chemicals. This research will improve qualitative and quantitative understanding on surfactant facilitated transport processes of apparently immobile contaminants. The project's goal is to provide a modelling approach that ultimately can be applied to assess and predict groundwater and offsite contamination risks in areas where surfactants are commonly used.